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I'm trying to use `sympy` to calculate the following equations: Integral of `exp(x)*exp(log(x)^2)` between 1 and infinity, but I'm getting a result of an integral..
x = symbols('x',positive=Tru…
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I see that the matplotlib is not recognized by the default backend in plots.
However, pyodide has matplotlib installed, so `import matplotlib` prepending just works
I wonder if this can …
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The flag evaluate=False of `sympify` is meant to prevent evaluation:
```
>>> sympify("2.2 + 3.3", evaluate=False)
2.2 + 3.3
```
But it doesn't help with functions of a floating point argument:
…
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I am following [wiki/Rubi-parsing-guide](https://github.com/sympy/sympy/wiki/Rubi-parsing-guide) to get the Rules and Constraints in SymPy. I have setup the mathematica and installed the Rubi as well …
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The integral of exp(-x**2) / (1 + exp(x)) is simply evaluated by wolframalpha: https://www.wolframalpha.com/input/?i=integral+of+exp%28-x%5E2%29+%2F+%281+%2B+exp%28x%29%29+for+x+from+-Infinity+to+Infi…
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The precision setting of ipython seems to be ignored. I'm not aware if there is a _symponic_ way to set the output precision manually. This is quite necessary when using the latex printer, otherwise I…
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I am evaluating a big sympy generated expression to solve and ODE. I have been able to accelerate it by applying numba.jit to the lambdified expression. However, as the the compilation of the expressi…
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There is a benchmarks package in sympy that has a few benchmarks tests in it. There is also benchmarks.py in the sympy.utilities package. However there is now a `sympy_benchmarks` repo.
Is the ben…
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Does SymPy have any policy on implicit conversion of `float` to `Rational` at API entry points?
It seems to me like there are many functions that work a lot better if you pass in Rationals even for…
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```
>>> from sympy import *
>>> x = Symbol('x')
>>> g1 = integrate(log(x) / (1 - x**2), [x, 0, oo])
>>> g2 = -Integral(log(x)/(x**2 - 1), (x, 0, oo))
>>> g1
-Integral(log(x)/(x**2 - 1), (x, 0, o…